Landform classification and soil distribution in hummocky terrain, Saskatchewan, Canada

Pennock, D.J.; Zebarth, Bernie J.; Jong, E. de

doi:10.1016/0016-7061(87)90040-1

Cited by 333 publications

(191 citation statements)

References 12 publications

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“…Pennock et al [22] proposed a seven-fold crisp classification based on Ruhe's [23] profile form classes. A similar scheme was put forward by Dikau [24] and modified by Wood [14].…”

Section: Describing Landscapes In Terms Of Surface Formmentioning

confidence: 99%

Delineation of Valleys and Valley Floors

Straumann

Purves

2008

Geographic Information Science

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Methods to automatically derive landforms have typically focused on pixel-based, bottom-up approaches and most commonly on the derivation of topographic eminences. In this paper we describe an object-based, top-down algorithm to identify valley floors. The algorithm is based on a region growing approach, seeded by thalwegs with pixels added to the region according to a threshold gradient value. Since such landforms are fiat we compare the results of our algorithm for a particular valley with a numberof textual sources describing that valley. In a further comparison, we computed a pixel-based six-fold morphometric classification for regions we classified as either being, or not being, valley floor. The regions classified as valley floor are dominated by pla nar slopes and channels,though the algorithm is robust enough to allow local convexities to be classified as within the valley floor. Future work will explore the delineation of valley sides, and thus complete valleys. Abstract. Methods to automatically derive landforms have typically focused on pixel-based, bottom-up approaches and most commonly on the derivation of topographic eminences. In this paper we describe an object-based, top-down algorithm to identify valley floors. The algorithm is based on a region growing approach, seeded by thalwegs with pixels added to the region according to a threshold gradient value. Since such landforms are fiat we compare the results of our algorithm for a particular valley with a number of textual sources describing that valley. In a further comparison, we computed a pixel-based sixfold morphometric classification for regions we classified as either being, or not being, valley floor. The regions classified as valley floor are dominated by planar slopes and channels, though the algorithm is robust enough to allow local convexities to be classified as within the valley floor. Future work will explore the delineation of valley sides, and thus complete valleys. Delineation of Valleys and Valley Floors

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“…Pennock et al [22] proposed a seven-fold crisp classification based on Ruhe's [23] profile form classes. A similar scheme was put forward by Dikau [24] and modified by Wood [14].…”

Section: Describing Landscapes In Terms Of Surface Formmentioning

confidence: 99%

Delineation of Valleys and Valley Floors

Straumann

Purves

2008

Geographic Information Science

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“…In this region moisture redistribution explains the pattern of soil development over the typical prairie hillslope (Miller et al 1985;Pennock et al 1987Pennock et al , 2011Zebarth and De Jong 1989). It is possible that the processes these models describe do not apply in the erosional Hillwash complex landscape.…”

Section: Discussionmentioning

confidence: 97%

“…Research from the Canadian prairies shows that soil development patterns on hillslopes are related to moisture redistribution caused by topographic characteristics (Miller et al 1985;Pennock et al 1987Pennock et al , 2011Zebarth and De Jong 1989). At common mapping scales, these patterns are recognized in soil surveys (Robertson 1961;King et al 1983).…”

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confidence: 99%

Equivalent latitude for prediction of soil development in a complex mapunit

WhitsonIvan¹

2015

Can. J. Soil. Sci.

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Whitson, I. R. 2015. Equivalent latitude for prediction of soil development in a complex mapunit. Can. J. Soil Sci. 95: 125–137. Soil pattern in the Hillwash complex mapunit from Saskatchewan is too variable to be resolved spatially with conventional mapping approaches. The equivalent latitude metric allows identification of an index based on gradient and aspect that ranks sites based on differences in direct radiant energy inputs. Effects on soil development with reference to surface horizon color and soil classification were investigated at three study areas in southern Saskatchewan. At the first, sites with equivalent latitude greater than local latitude (north group) had a higher frequency of darker soil colors than sites where equivalent latitude was less than local latitude (south group). Black Chernozemic profiles made up nine of 13 profiles from the north group compared with none in the south group or in local controls. Similar color and classification trends in a north sample group were found at a second study area. Results from a third study area more than 200 km away and in a drier ecoregion found similar differences albeit a different set of subgroups between north and south group soils at that location. The equivalent latitude metric could be used in a GIS context to better resolve soil characteristics within this complex mapunit, but only after additional work to include a climate parameter such as potential transpiration into the model.

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“…On cultivated prairie soils, Pennock et al (1987) (Sandercock 1990 These results differ from the findings of Pennock et al (1987) …”

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confidence: 82%